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International Symposium on Methodologies for Intelligent Systems

ISMIS 2003: Foundations of Intelligent Systems pp 417–421Cite as

Fuzzy Multiset Model for Information Retrieval and Clustering Using a Kernel Function

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2871))

Abstract

A method of fuzzy clustering based on a fuzzy multiset model is proposed. Data clustering has frequently been discussed in relation to information retrieval models and on the other hand fuzzy multisets provide an appropriate model of information retrieval on the WWW. A dissimilarity measure on fuzzy multisets is proposed. A method of fuzzy c-means using this measure is studied and fuzzy c-means clustering using a kernel function employed in nonlinear transformation into a high dimensional feature space in Support Vector Machine is discussed.

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Author information

Authors and Affiliations

  1. Graduate School of Systems and Infomation Engineering, University of Tsukuba, Ibaraki, 305-8573, Japan

    Kiyotaka Mizutani

  2. Institute of Engineering Mechanics and Systems, University of Tsukuba, Ibaraki, 305-8573, Japan

    Sadaaki Miyamoto

Authors
  1. Kiyotaka Mizutani
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  2. Sadaaki Miyamoto
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Editor information

Editors and Affiliations

  1. The International WIC Institute, Beijing University of Technology, China

    Ning Zhong

  2. Department of Computer Science, University of North Carolina, NC 28223, Charlotte, USA

    Zbigniew W. Raś

  3. Shimane University, 89-1 Enya-cho Izumo, 6938501, Shimane, Japan

    Shusaku Tsumoto

  4. Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi, 819-0395, Fukuoka, Japan

    Einoshin Suzuki

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© 2003 Springer-Verlag Berlin Heidelberg

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Cite this paper

Mizutani, K., Miyamoto, S. (2003). Fuzzy Multiset Model for Information Retrieval and Clustering Using a Kernel Function. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science(), vol 2871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39592-8_58

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  • DOI: https://doi.org/10.1007/978-3-540-39592-8_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20256-1

  • Online ISBN: 978-3-540-39592-8

  • eBook Packages: Springer Book Archive

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